Summary
In this chapter, we learned how Julia is different and how an LLVM-based JIT compiler enables Julia to approach the performance of C/C++. We introduced you to how to download Julia, install it, and build it from source. The notable features that we found were that the language is elegant, concise, and powerful and it has amazing capabilities for numeric and scientific computing.
We worked on some examples of working with Julia via the command line (REPL) and saw how full of features the language shell is. The features found were tab-completion, reverse-search, and help functions. We also discussed why should we use Jupyter Notebook and went on to set up Jupyter with the IJulia package. We worked on a simple example to use the Jupyter Notebook ...
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